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All Journal Jurnal Penelitian dan Evaluasi Pendidikan Jurnal Ilmu Sosial dan Ilmu Politik Jurnal Matematika Sains dan Teknologi Jurnal Organisasi Dan Manajemen Communications in Science and Technology Jurnal Ketenagakerjaan Prosiding Seminar Nasional Official Statistics PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Ekonomi Kependudukan dan Keluarga
Agung Priyo Utomo
Sekolah Tinggi Ilmu Statistik
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Determinan Perilaku Swamedikasi Penduduk Jawa Tengah Utomo, Agung Priyo; Syahida, Inayati; Berliana, Sarni Maniar; Samosir, Omas Bulan; Sugiarto, Sugiarto
Jurnal Ekonomi Kependudukan dan Keluarga
Publisher : UI Scholars Hub

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Abstract

Self-medication has been practiced globally for thousands of years. As a part of primary healthcare services, self-medication forms the cornerstone of a sustainable healthcare system supporting universal health coverage, which is targeted in Sustainable Development Goal 3 (SDG 3), target 3.8. This study aims to provide an overview of self-medication behaviors and the factors influencing them among residents of Central Java Province. Using data from the 2021 National Socio-Economic Survey provided by the BPS-Statistics Indonesia, the sample size of this study includes 19,998 individuals, with 82.1% engaging in self-medication. The prevalence of self-medication is higher among males (84.0%) compared to females (80.6%). Self-medication is more common among individuals who are employed, live in rural areas, are unmarried, do not have health insurance, use the internet, are not poor, or have health complaints that do not interfere with daily activities, compared to their corresponding counterparts. The proportion of self-medication decreases with increasing age or higher education levels. Further binary logistic regression analysis identifies that the propensity for self-medication is higher among males (OR=1.16; 95% CI: 1.07-1.26), employed individuals (OR=1.40; 95% CI: 1.30-1.52), unmarried individuals (OR=1.17; 95% CI: 1.07-1.28), those without health insurance (OR=1.32; 95% CI: 1.20-1.44), the poor (OR=1.16; 95% CI: 1.02-1.31), those with health complaints that do not disrupt daily activities (OR=1.54; 95% CI: 1.43-1.66). The government needs to provide education and information regarding safe and responsible self-medication practices to at-risk groups, such as those with lower education levels, those without health insurance, and the poor, to maximize the benefits of self-medication and minimize the negative impacts of self-medication behaviors.
The Influence of Village Funds, HDI, GRDP, and Unemployment on Poverty in Sulawesi 2017-2024 Using Panel Data Regression Ramadhani, Muhammad Reza; Utomo, Agung Priyo
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.499

Abstract

Poverty in Indonesia remains a significant problem. Generally, rural poverty is higher than urban poverty. Therefore, the government has enacted a village fund policy through. Law Number 6 of 2024 to assist development efforts that can reduce rural poverty. However, despite a decline in national poverty, the poverty rate in Sulawesi has fluctuated. In addition to village funds, other variables influence poverty, such as human development index (HDI), gross regional domestic product (GRDP) per capita, and unemployment rate. The purpose of this study is to determine the effect of village funds, HDI, GRDP per capita, and unemployment on poverty rates in 70 districts in Sulawesi from 2017 to 2024. Data used are sourced from directorate general of fiscal balance (DJPK) for village funds and BPS for other variables. Panel data regression analysis is used to identify variables that influence poverty rates. Based on FEM, it is known that HDI and GRDP per capita have a negative and significant effect on poverty rates in Sulawesi Island. Village funds are insignificant in reducing poverty due to differences in development levels across regions. Therefore, equitable development and incre
Co-Authors Abdul Karim Bahrul Hayat, Bahrul Farihah, Raisa Gabriela, Patrisia Januardi, Ryan Willmanda Putra, Muhammad Dwirifqi Kharisma Ramadhani, Muhammad Reza Rini Rahani Samosir, Omas Bulan Saputro, Agung Eddy Suryo Sarni Maniar Berliana, Sarni Maniar Sugiarto S Syahida, Inayati Umar, Jahja